Introduction to Generative AI for Data Analysis

Overview

Class Central Tips

This foundational course provides a comprehensive understanding of generative AI and its applications in data analysis. You'll explore key tools and platforms, learn to integrate AI into existing workflows, and master prompt engineering for various data analysis tasks. Upon completion of this course, you'll be able to: Define generative AI and its role in data analysis Integrate generative AI tools into existing data analysis workflows Develop prompt engineering skills for data analysis tasks Evaluate ethical considerations in using generative AI for data analysis

Syllabus

Introduction to Generative AI

Develop a foundational understanding of what Generative AI is, its current applications in data analysis, and the key tools and platforms available.

Data exploration with GenAI

Integrate generative AI tools into their existing data analysis workflows to streamline data exploration, uncover insights, and enhance decision-making processes.

Data cleaning with GenAI

Apply generative AI tools to investigate and summarize datasets, and identify patterns and relationships, and formulate hypotheses for further analysis.

Prompt Engineering Fundamentals

Develop the skills to create and optimize effective prompts for diverse data analysis tasks, enhancing the quality and efficiency of data cleaning, analysis, and visualization outcomes.

Ethical and Safe Use of GenAI

Evaluate and apply ethical, legal, and practical considerations in utilizing generative AI for data analysis, ensuring responsible application and risk mitigation.